Week 1
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SWK: 8408 Statistics I for Social Work

~Avoid the top of the Bell Curve - Everyone there is Normal~

Gia Elise Barboza-Salerno, MA, MS, JD, PhD
barboza-salerno.1@osu.edu
The Ohio State University
Colleges of Public Health & Social Work
Autumn 2023
Class Website


  1. Introduce Me
  2. Introduce You
  3. Class Policies & Procedures
  4. Assessment

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  1. violence & victims
  2. drug fatality & overdose
  3. systems overlap
  4. trauma sequelae

  1. spatial & spatiotemporal analyses
  2. latent variable models
  3. structural equation models
  4. multilevel models

  1. socio-ecological
  2. social vulnerability
  3. polyvictimization
  4. anti-racist

An Introduction to Statistical Methods and Data Analysis, 6th Edition. Lyman Ott and Micheal T. Longnecker, Duxbury, 2010; ISBN-13: 978-1305269477

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OpenIntro: Data Sets and Supplemental Functions from 'OpenIntro' Textbooks and Labs. Çetinkaya-Rundel M, Diez D, Bray A, Kim A, Baumer B, Ismay C, Paterno N, Barr C (2023). 

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  1. Meeting times
  • We will meet in person on Fridays from 1-3:45.
  • Note: There will be times when we have to meet on Zoom
  1. Exams
  • There will be a midterm exam on
  • There will be an optional final exam

  1. Assignments
  • Upload to Canvas by 11:59pm on due date
  • Lowest grade will be dropped
  1. Labs
  • There will be a midterm exam on
  • There will be an optional final exam

ALL materials will be available on Canvas, my databootcamp website or my github repository

  • Syllabus
  • Announcements
  • Lecture slides/notes
  • Homework
  • Exam and Assignment Schedules
  • Data sets for labs and homework
  • R code, JASP files

  • R: IMHO the best statistical analysis tool ever created (yes, better than python for statistics)
  • JASP - A Fresh Way to Do Statistics (jasp-stats.org)
    • "Just Another Statistics Program" JASP offers another great alternative to SPSS
    • In some ways JASP is better than jamovi, but it seems less stable and so it is my second best option
    • There are some benefits to using JASP including flexibility in making plots and nice visualizations for the statistical analyses you are conducting
    • Click here to download JASP
    • JASP in particular provides a great way to both learn statistics and R at the same time
    • Let's take a look at the data library in JASP now

OSU has obtained a license for the following software packages:

  • SPSS: its like a necessary evil - everyone must know how to use SPSS. There are some things that are actually easier in SPSS
  • SAS: ugh!
  • EXCEL: can be great to clean your data, particularly if you use the built-in functions.
  • jmp: this is a very cool data science program from the makers of SAS (the archaic and soon to be extinct software program)

Visit OBF @ OSU to download these packages


  1. Open Source
  • QGIS: "Quantum Geographical Information Systems" allows you to do geospatial analysis like a (ArcGIS) pro -- QGIS is great for creating, editing, visualizing, analyzing and publishing geospatial information
  • The Applications (qgis.org) page gives you a sense of all the cool things you can do with QGIS
  • ArcGIS Map, Pro

Let's look at some applications that demonstrate what these packages do

  1. Web scraping
  2. Data Wrangling
  3. Map making
  4. Visualization
  5. Statistical Analyses

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Allows you to create a dataset or download lots of data quickly

  1. Using RSelenium & Docker to Analyze Child Fatality and Non-Fatalities in Pennsylvania | by Big Data for Social Justice

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Allows you to visualize lots of data quickly

  1. Mining the “Indian Child Welfare Act” (ICWA) using Harvard Law School’s Caselaw API| by Big Data for Social Justice | Medium

Allows you to analyze lots of data quickly

  1. Analyzing Places Data from the Centers for Disease Control (CDC)
  • It would be great to now merge this data with data from DataOhio
  1. A note on data mining

Lahaina, Maui (August, 2023)

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Sources


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For today's lab

  1. Make sure you have all required software for the course (Excel, SPSS, R and JASP)
  2. Complete the pre-course self-assessment and upload your responses to canvas
  3. Navigate the weblinks and datasets presented in this file